📝 Selected Papers

BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model

Weilin Lin^*, Nanjun Zhou^*, Yanyun Wang, Jianze Li, Hui Xiong, Li Liu^#

• The first comprehensive benchmark for backdoor learning on diffusion models.
• Propose a unified attack formulation and a systematic target taxonomy.
• Support 9 diffusion backdoor attacks, 5 defense methods, and 3 visualization tools.

The Thirty-Ninth Annual Conference on Neural Information Processing Systems Datasets & Benchmarks Track (NeurIPS D&B), San Diego, California, USA, 2025

Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation Oral Presentation (4.6%)

Weilin Lin, Li Liu^#, Jianze Li, Hui Xiong

• One of the few data-free defense strategies against backdoor attacks.
• First adaptation of OT and model fusion on backdoor defense.

The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, Pennsylvania, USA, 2025

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness

Weilin Lin, Li Liu^#, Shaokui Wei, Jianze Li, Hui Xiong

• New insights on unlearning weight change and backdoor activeness.
• Propose an effective defense strategy using reinitialization and fine-tuning.

Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024